Zapowiedź – MLGdańsk #112 – Classification of Endometrial cancer using Machine Learning – podsumowanie projektu

Serdecznie zapraszamy do uczestnictwa ONLINE w 112. spotkaniu grupy MLGdańsk.

Spotkanie odbędzie się w poniedziałek, 2021.09.20, godz. 18:00

link do spotkania:
(uwaga: nowy link, korzystamy z jitsi)

Prelegentem będzie dr inż. Robert Różański

Temat prelekcji to:
Classification of Endometrial cancer using Machine Learning

Podczas prezentacji Robert przedstawi wyniki z projektu dotyczącego klasyfikacji raka trzonu macicy.
Projekt realizowany we współpracy z GUMEDem.

Serdecznie zapraszamy do udziału!

Invitation – MLGDAŃSK #111 – Low-resource expressive text-to-speech using data augmentation

We would like to invite you to our first meeting after summer break!

Meeting will be held ONLINE, on Monday 2021.09.06, at 18:00

Our guest will be Tom Merrit (Amazon)

Title of presentation is:
Low-resource expressive text-to-speech using data augmentation

Abstract of Tom’s presentation:

While recent neural text-to-speech (TTS) systems perform remarkably well, they typically require a substantial amount of recordings from the target speaker reading in the desired speaking style.

In this work, we present a novel 3-step methodology to circumvent the costly operation of recording large amounts of target data in order to build expressive style voices with as little as 15 minutes of such recordings.

First, we augment data via voice conversion by leveraging recordings in the desired speaking style from other speakers.

Next, we use that synthetic data on top of the available recordings to train a TTS model.

Finally, we fine-tune that model to further increase quality. Our evaluations show that the proposed changes bring significant improvements over non-augmented models across many perceived aspects of synthesised speech.

We demonstrate the proposed approach on 2 styles (newscaster and conversational), on various speakers, and on both single and multi-speaker models, illustrating the robustness of our approach.

Link to the online meeting is:

This speech won’t be recorded due to IP restrictions.